TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Nima Noorshams, Saurabh Verma, Aude Hofleitner
KDD 2020
Facebook is thrilled to contribute to KDD 2020. This year, we will present seven papers at the conference and participate in several sessions and workshops. These results come from across Facebook’s diverse research teams working in Core Data Science, Artificial Intelligence, Analytics, and Machine Learning.
Research is at the core of this mission and our teams focus on projects we believe will have the most positive impact on people and society. Explore our booth for more details on our research, scheduled events, and collaboration and career opportunities.
Facebook Publications At KDD 2020
KDD - 2020
Training Deep Learning Recommendation Model with Quantized Collective Communications
Jie (Amy) Yang, Jongsoo Park, Srinivas Sridharan, Ping Tak Peter Tang
CLARA: Confidence of Labels and Raters
Viet-An Nguyen, Peibei Shi, Jagdish Ramakrishnan, Udi Weinsberg, Henry C. Lin, Steve Metz, Neil Chandra, Jane Jing, Dimitris Kalimeris
Information Extraction of Clinical Trial Eligibility Criteria
Yitong Tseo, M. I. Salkola, Ahmed Mohamed, Anuj Kumar, Freddy Abnousi
Embedding-based Retrieval in Facebook Search
Jui-Ting Huang, Ashish Sharma, Shuying Sun, Li Xia, David Zhang, Philip Pronin, Janani Padmanabhan, Giuseppe Ottaviano, Linjun Yang
A Method for Animating Children’s Drawings of the Human Figure
Harrison Jesse Smith, Qingyuan Zheng, Yifei Li, Somya Jain, Jessica K. Hodgins